HMRF_EM_image

此文件实现了自适应UKF和UKF算法对运动刚体的位姿估计，采用噪声估计器在线估计过程噪声的均值和方差，避免了人为设定噪声的统计特性。(This document implements adaptive UKF and UKF algorithm to estimate pose and pose of moving rigid body, and uses noise estimators to estimate the mean and variance of process noise online, avoiding the statistical characteristics of man-made noise.)

水平集方法及其在图像分割中的应用研究。09年中科大的博士论文，很详细的讲解了水平集在图像分割中的应用(Level set method and its application in image segmentation study. Cultivation of doctoral thesis in 2009, a very detailed explanation of the level set image segmentation in)

实现上海地铁一天可视化链接,你可以通过processing的程序看到一天的变化，都在里面了(you can see the change of shanghai railway all day long)

压缩感知图像融合算法，效果很好滴，可以借鉴学习哦(Compressed sensing image fusion algorithm, the effect is very good drops, you can learn from, oh)

以实例列举了MATLAB中常用的图像处理函数的代码(Examples are given to illustrate the image processing functions commonly used in MATLAB code)

BlurTemplate.m为模糊模板函数子程序 DIPexp2.m为用逆滤波和维纳滤波进行恢复的源程序(Template function for the fuzzy BlurTemplate.m Subroutine DIPexp2.m using inverse filtering and Wiener filtering for the restoration of the source)

DNF按钮生成器易语言源码程序,例程结合易语言扩展界面支持库和图像格式转换支持库，实现生成DNF按钮。(DNF Button Builder easy language source program , a routine extension interface combined with easy language support library and image format conversion support library that implements generate DNF button.)

说明：  相当的经典啊 是基于matlab的 大家做图像匹配的都可以用的到,做三维重建方面的。(Rather is based on the classic ah matlab we do the image matching can be used for that, so three-dimensional reconstruction.)

视频水印matlab源码，此为第三个压缩包，在水印领域的爱好者可以下载作为参考(Video Watermarking Matlab source, which is the third-compressed, Watermark in the field of lovers can download as a reference)

国外网站上找到的一个图像拼接程序，将三张图片拼接为一张。 大致方法为Haaris找角点，粗匹配，RANSAC精匹配。 有详细的注释，附带一篇代码说明文档，非常适合初学者学习研究(Foreign web sites to find a image stitching procedure, three picture mosaic as one. Roughly method for Haaris to find a corner, coarse matching, the RANSAC precise matching. Detailed notes, with a code documentation, very suitable for beginners to learn)